---
title: About Predict
description: This article describes the Tealium Predict ML product and how it is used to create, train, and deploy machine learning models to make predictions about visitor behavior.
url: https://docs.tealium.com/server-side/predict/getting-started/about-predict/
---

<blockquote>
Interested in Predict?  
Predict is an add-on feature for customers who have AudienceStream. If you are already a Tealium customer, [contact support](https://docs.tealium.com/support/) for a demo and to learn more about Predict. If you are a new customer, [contact us](https://tealium.com/predict-demo/) to request a demo.
</blockquote>
 

Tealium Predict is a built-in machine learning technology product used with the Tealium AudienceStream CDP product that takes a complicated discipline (machine learning) and distills it down to a fully managed feature. Tealium Predict works with Tealium AudienceStream to build and create more intelligent audiences and activate trustworthy machine learning insights.

![](https://docs.tealium.com/images/predict/high-level-predict-flow.png)

Using Tealium Predict, you can create, optimize, and deploy data models that make meaningful predictions about visitor behavior allowing you to determine:

* The driving factors that influence your key performance indicators (KPIs). For example, which types of customers are likely to make online purchases.
* Which marketing channels within your website drive purchases.
* Categories of online visitor segmentation to apply successful customer personalization.

Deployed models are managed by Tealium in real-time using a predictive output attribute that is made available to you after your model is trained and deployed. In just a few clicks, you can create audiences by categorizing visitors based model scores and target them with personalized experiences to drive ROI.

## Data compliance

For information about data compliance and security, see the [Tealium Customer Protection Package](https://tealium.com/terms/).

## Key benefits

Key benefits of Tealium Predict include the following:

* **Leverage Machine Learning Intelligence Across your Entire Implementation**  
Automatically activate predictive insights in any of Tealium's over 1,200 integrations.
* **Simplification**  
Tealium Predict technology simplifies the implementation of machine learning for you without the need for a data scientist or dedicated team. You can create a model, deploy it, and immediately activate the value in AudienceStream without writing a single line of code.
* **Predict Customer Actions**  
Automatically draw conclusions about what actions customers are likely to take in the future and design tailored programs that directly address their needs.
* **Personalization**  
The Tealium Customer Data Hub lets you pinpoint meaningful visitor personalization data.
* **Reduce Time Spent on Machine Learning Projects that Involve User Data**  
Data collection and analysis are natively integrated with machine learning intelligence, greatly reducing time spent on data preparation and activation.
* **Score Customers with Predictive Potential**  
Technology built into the model produces a score for visitors with the likelihood to return or complete a specific behavior. You can then leverage the scores to generate audiences for further proactive action, such as re-engagement campaigns.

## Customer use cases

To learn more about the real ways that machine learning and customer data can drive revenue through improved customer experiences, see [Tealium Predict ML: Top 5 Emerging Machine Learning Use Cases with Customer Data](https://tealium.com/blog/data-driven-marketing/tealium-predict-ml-top-5-emerging-machine-learning-use-cases-with-customer-data/). These customer use cases cover perspectives from marketing, customer experience strategists, and data scientists including:

* Proactive Marketing: Machine Learning-Powered Segmentation
* Marketing Efficiency: Improve Purchase or Conversion Rate
* Customer Retention: Reduce Churn
* Customer Experience: Funnel Optimization
* Predictive Analytics: Get Customer Insights and Validate Assumptions